bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / spatial / transform / _rotation / Rotation / as_mrp
function
scipy.spatial.transform._rotation:Rotation.as_mrp
source: build-install/usr/lib/python3.14/site-packages/scipy/spatial/transform/_rotation.py:1454
Signature
def as_mrp(self) → ArraySummary
Represent as Modified Rodrigues Parameters (MRPs).
Extended Summary
MRPs are a 3 dimensional vector co-directional to the axis of rotation and whose magnitude is equal to tan(theta / 4), where theta is the angle of rotation (in radians) [1].
MRPs have a singularity at 360 degrees which can be avoided by ensuring the angle of rotation does not exceed 180 degrees, i.e. switching the direction of the rotation when it is past 180 degrees. This function will always return MRPs corresponding to a rotation of less than or equal to 180 degrees.
Returns
mrps: ndarray, shape (..., 3)Shape depends on shape of inputs used for initialization.
Notes
Examples
from scipy.spatial.transform import Rotation as R import numpy as np✓
r = R.from_rotvec([0, 0, np.pi])
✓r.as_mrp()
✗array([0., 0., 1.])
r.as_mrp().shape
✓(3,)Represent a stack with a single rotation:
r = R.from_euler('xyz', [[180, 0, 0]], degrees=True)
✓r.as_mrp()
✗array([[1., 0., 0.]])
r.as_mrp().shape
✓(1, 3)Represent multiple rotations:
r = R.from_rotvec([[np.pi/2, 0, 0], [0, 0, np.pi/2]])
✓r.as_mrp()
✗array([[0.41421, 0. , 0. ],
[0. , 0. , 0.41421]])
r.as_mrp().shape
✓(2, 3)
Aliases
scipy.spatial.transform.Rotation.as_mrp